Recent years are marked by raised awareness in ethical implications of natural language processing; multiple recent proposals call for ethics- and copyright-aware data collection strategies and documentation protocols [1]}, [2]}. Peer reviewing data is not exempt from that requirement and presents a challenging case of personal, confidential, anonymous data that needs to be collected and managed accordingly: the fact that the peer reviewing data is made openly available and can be crawled does not imply that it can be freely used for research and model development [1]}. Neither ICLR nor NeurIPS provide information on the authors' and reviewers' consent for processing of their peer reviewing data. Additionally, they do not specify the conditions of data processing by third parties. As we discuss below, peer reviewing data is personal and confidential, and requires consent or other grounds for processing.
